ELECTRIC POWER SYSTEMS RESEARCH

Scope & Guideline

Pioneering Insights for a Sustainable Energy Landscape

Introduction

Explore the comprehensive scope of ELECTRIC POWER SYSTEMS RESEARCH through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore ELECTRIC POWER SYSTEMS RESEARCH in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN0378-7796
PublisherELSEVIER SCIENCE SA
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1977 to 2024
AbbreviationELECTR POW SYST RES / Electr. Power Syst. Res.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 564, 1001 LAUSANNE, SWITZERLAND

Aims and Scopes

The journal "Electric Power Systems Research" focuses on advancing knowledge and understanding in the field of electric power systems, particularly emphasizing innovative solutions for the challenges posed by modern energy demands and the integration of renewable energy sources. The journal covers a variety of topics related to power system design, operation, and management, highlighting both theoretical and practical approaches.
  1. Power System Stability and Control:
    Research on stability analysis, control strategies, and protective measures for ensuring reliable operation of both AC and DC power systems, especially in the context of renewable energy integration.
  2. Renewable Energy Integration and Management:
    Studies focusing on the integration of renewable energy sources such as wind, solar, and hydro into existing power grids, including the optimization of energy management systems.
  3. Smart Grids and Cyber-Physical Systems:
    Exploration of smart grid technologies, including demand response, distributed energy resources, and the application of advanced communication and control techniques in power systems.
  4. Load Forecasting and Demand Response:
    Innovative methods for load forecasting using machine learning and AI, alongside strategies for demand-side management to enhance system reliability and efficiency.
  5. Power Quality and Reliability:
    Research addressing power quality issues, including harmonic distortion, voltage sags, and other disturbances, with a focus on improving the overall reliability of power systems.
  6. Fault Detection and Diagnosis:
    Development of advanced techniques for fault detection, classification, and location in power systems to enhance the resilience and reliability of electrical networks.
  7. Optimization Techniques in Power Systems:
    Application of optimization algorithms and methodologies for enhancing the performance of power systems, including unit commitment, economic dispatch, and network reconfiguration.
The landscape of electric power systems research is continually evolving. The journal has recently highlighted several emerging themes that reflect current challenges and technological advancements in the field.
  1. Hybrid Energy Systems and Microgrids:
    Research on hybrid energy systems, particularly those combining renewable sources with storage and flexible loads, is gaining traction as microgrids are recognized for their potential in enhancing energy resilience.
  2. Data-Driven Approaches and Machine Learning Applications:
    There is a significant increase in studies leveraging data-driven methodologies and machine learning techniques for various applications, including load forecasting, fault detection, and optimization in power systems.
  3. Cybersecurity in Smart Grids:
    With the increasing digitization of power systems, research focused on cybersecurity measures to protect against threats and vulnerabilities in smart grid infrastructure is emerging as a critical area of study.
  4. Decentralized Energy Markets and Peer-to-Peer Trading:
    Emerging interest in decentralized energy markets and peer-to-peer trading models reflects a shift towards more participatory and flexible energy systems that empower consumers.
  5. Resilience and Adaptability in Power Systems:
    Growing emphasis on the resilience of power systems against natural disasters and cyber threats indicates a trend towards developing frameworks that ensure system adaptability under various conditions.

Declining or Waning

While the journal has maintained a strong focus on several core areas, some themes have shown a decline in prominence in recent publications, suggesting a shift in research trends and priorities within the electric power systems community.
  1. Conventional Power Generation Technologies:
    Research on traditional fossil fuel-based power generation methods has seen a decline as the field shifts focus towards renewable and sustainable energy sources.
  2. Static Modeling Techniques:
    Static modeling approaches for power flow analysis are becoming less prevalent as more researchers adopt dynamic and real-time simulation techniques that better capture the complexities of modern power systems.
  3. Single-Objective Optimization Models:
    There is a noticeable shift towards multi-objective optimization approaches, indicating that simpler single-objective models are being phased out in favor of more comprehensive frameworks that consider multiple conflicting objectives.
  4. Centralized Energy Management Systems:
    The trend is moving towards decentralized and distributed energy management systems, reflecting a waning interest in centralized approaches that may not accommodate the flexibility required in modern energy systems.
  5. Basic Protection Schemes:
    Traditional protection schemes are increasingly being replaced by more advanced, adaptive protection strategies that consider the integration of distributed generation and renewable resources.

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